Triple

T8306659
Position Surface form Disambiguated ID Type / Status
Subject Amstelstation E194478 entity
Predicate railCode P18202 FINISHED
Object Asml
Asml is the rail code used to identify Amstelstation in the Dutch railway network.
 E724782 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Asml | Statement: [Amstelstation, railCode, Asml]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Asml
Context triple: [Amstelstation, railCode, Asml]
  • A. ASML
    ASML is a Dutch multinational company that is the world’s leading manufacturer of advanced photolithography equipment used in semiconductor chip production.
  • B. Lam Research
    Lam Research is a leading American semiconductor equipment company that supplies wafer fabrication tools and services to chip manufacturers worldwide.
  • C. TSMC
    TSMC (Taiwan Semiconductor Manufacturing Company) is the world’s largest dedicated semiconductor foundry, renowned for producing cutting-edge chips for major technology companies.
  • D. Applied Materials
    Applied Materials is a leading American corporation that supplies equipment, services, and software for the manufacture of semiconductors and other advanced electronic components.
  • E. Synopsys
    Synopsys is a leading American electronic design automation (EDA) and semiconductor IP company that provides software, tools, and services for designing and verifying integrated circuits and systems-on-chip.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Asml
Triple: [Amstelstation, railCode, Asml]
Generated description
Asml is the rail code used to identify Amstelstation in the Dutch railway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Asml
Target entity description: Asml is the rail code used to identify Amstelstation in the Dutch railway network.
  • A. ASML
    ASML is a Dutch multinational company that is the world’s leading manufacturer of advanced photolithography equipment used in semiconductor chip production.
  • B. Lam Research
    Lam Research is a leading American semiconductor equipment company that supplies wafer fabrication tools and services to chip manufacturers worldwide.
  • C. TSMC
    TSMC (Taiwan Semiconductor Manufacturing Company) is the world’s largest dedicated semiconductor foundry, renowned for producing cutting-edge chips for major technology companies.
  • D. Applied Materials
    Applied Materials is a leading American corporation that supplies equipment, services, and software for the manufacture of semiconductors and other advanced electronic components.
  • E. Synopsys
    Synopsys is a leading American electronic design automation (EDA) and semiconductor IP company that provides software, tools, and services for designing and verifying integrated circuits and systems-on-chip.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f293db08190912e5e8bb7e940cf completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955100448190862fd52d660585fd completed April 1, 2026, 9:59 p.m.
NEDg Description generation batch_69cda342c10881908ebafc7853815424 completed April 1, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69cdab736f208190a90bd4344b21a22c completed April 1, 2026, 11:34 p.m.
Created at: March 30, 2026, 5:54 p.m.